CUDA_VISIBLE_DEVICES=5 python train.py -c config_cifar10.json --percent 0.2 --lr_u 10 --lr_v 10 --seed 2 --name cifar10_sym_0.2_seed_2 > results/cifar10_sym_0.2_seed_2.txt
CUDA_VISIBLE_DEVICES=5 python train.py -c config_cifar10.json --percent 0.5 --lr_u 10 --lr_v 10 --seed 2 --name cifar10_sym_0.5_seed_2 > results/cifar10_sym_0.5_seed_2.txt
CUDA_VISIBLE_DEVICES=5 python train.py -c config_cifar10.json --percent 0.8 --lr_u 10 --lr_v 10 --seed 2 --name cifar10_sym_0.8_seed_2 > results/cifar10_sym_0.8_seed_2.txt
CUDA_VISIBLE_DEVICES=5 python train.py -c config_cifar10_asym.json --percent 0.4 --lr_u 10 --lr_v 100 --seed 2 --name cifar10_asym_0.4_seed_2 > results/cifar10_asym_0.4_seed_2.txt
CUDA_VISIBLE_DEVICES=5 python train.py -c config_cifar100.json --percent 0.2 --lr_u 1 --lr_v 10 --seed 2 --name cifar100_sym_0.2_seed_2 > results/cifar100_sym_0.2_seed_2.txt
CUDA_VISIBLE_DEVICES=5 python train.py -c config_cifar100.json --percent 0.5 --lr_u 1 --lr_v 10 --seed 2 --name cifar100_sym_0.5_seed_2 > results/cifar100_sym_0.5_seed_2.txt
CUDA_VISIBLE_DEVICES=5 python train.py -c config_cifar100.json --percent 0.8 --lr_u 1 --lr_v 10 --seed 2 --name cifar100_sym_0.8_seed_2 > results/cifar100_sym_0.8_seed_2.txt
CUDA_VISIBLE_DEVICES=5 python train.py -c config_cifar100_asym.json --percent 0.4 --lr_u 1 --lr_v 100 --seed 2 --name cifar100_asym_0.4_seed_2 > results/cifar100_asym_0.4_seed_2.txt
